WebB)always put the dependent variable on the horizontal axis and the independent variable on the vertical axis. C)are somewhat arbitrary in assigning independent and dependent variables to the horizontal and vertical axes. D)measure the slope of a line differently than do mathematicians. C Which of the following statements is correct? Web27 de set. de 2024 · 1. Create a graph with x and y-axes. Draw a vertical line, which is the y-axis. Then make the x-axis, or a horizontal line that goes from the bottom of the y-axis …
How to determine which variable goes on the X & Y axes in a …
Web21 de out. de 2013 · Best Answer. Copy. It depends on the number of variables and their nature: 2 variables, both independent: either axis. 2 variables, one independent: x … Web27 de set. de 2024 · The y-axis represents a dependent variable, while the x-axis represents an independent variable. Say you sell apples and want to see how advertising affects your sales. The amount of money you spent in a month on advertising is the independent variable, or the factor that causes the effect you’re trying to understand. ovarian masses icd 10
How to Choose Which Variable to Place on X-Axis and Y …
Web27 de fev. de 2024 · 1 Answer. Yes. If you are considering only one independent variable x i, and it’s effect on y i, then your interpretation is sufficient. And yes, your interpretation is in the correct units. The unit increase in education should be expressed in years, while its effect on sleep should be expressed in minutes per week. WebThe dependent variable might be plotted on the horizontal (x) axis or the vertical (y) axis. It depends on how the code is written. In the above link, whenever you see: y ~ x That is an R formula and it basically means that y is the "dependent" variable and x is the "independent" variable. When you see: x ~ y WebDependent Variable Examples. Example 1: A study finds that reading levels are affected by whether a person is born in the U.S. or in a foreign country. The IV is where the person was born and the DV is their reading … ovarian malignancy ppt